AI model comparison
Qwen3 30B A3B Instruct 2507 vs Gemma 3 27B
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference.
- Input / 1M
- $0.10
- Output / 1M
- $0.30
- Context
- 262K
Gemma 3 27B
Gemma 3 introduces multimodality, supporting vision-language input and text outputs.
- Input / 1M
- $0.08
- Output / 1M
- $0.45
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3 30B A3B Instruct 2507
1.1x cheaper for a typical chat
Higher intelligence score
Qwen3 30B A3B Instruct 2507
7.5 vs 4.9 on Artificial Analysis
Larger context window
Qwen3 30B A3B Instruct 2507
262K vs 131K tokens
Newer release
Qwen3 30B A3B Instruct 2507
Released July 29, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3 30B A3B Instruct 25077.5Gemma 3 27B4.9Coding index
Qwen3 30B A3B Instruct 2507Not availableGemma 3 27B10.1Agentic index
Qwen3 30B A3B Instruct 2507Not availableGemma 3 27B0.1Pricing
Qwen3 30B A3B Instruct 2507 vs Gemma 3 27B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3 30B A3B Instruct 2507 | Gemma 3 27B |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.08 |
| Output tokensPer 1M tokens | $0.30 | $0.45 |
| Cached input (read)Per 1M tokens | Not available | $0.04 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3 30B A3B Instruct 2507$0.35Gemma 3 27B$0.39Coding task
30K in, 4K out
Qwen3 30B A3B Instruct 2507$4.20Gemma 3 27B$4.20$3 cachedLong document summary
150K in, 2K out
Qwen3 30B A3B Instruct 2507$15.60Gemma 3 27B$12.90$6.90 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3 30B A3B Instruct 2507 | Gemma 3 27B |
|---|---|---|
| Context window | 262K tokens | 131K tokens |
| Max output | 236K tokens | 118K tokens |
| Input types | Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | July 29, 2025 | March 12, 2025 |
Features
Supported features
API features available for each model.
| Metric | Qwen3 30B A3B Instruct 2507 | Gemma 3 27B |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3 30B A3B Instruct 2507View full model details- Qwen3 30B A3B Instruct 2507 vs Gemini 2.5 Flash Lite
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- Qwen3 30B A3B Instruct 2507 vs Llama 3.1 70B Instruct
- Qwen3 30B A3B Instruct 2507 vs Qwen2.5 Coder 32B Instruct
- Qwen3 30B A3B Instruct 2507 vs Reka Flash 3
- Qwen3 30B A3B Instruct 2507 vs Llama 3.2 3B Instruct
Gemma 3 27BView full model details- Gemma 3 27B vs Gemini 2.5 Flash Lite
- Gemma 3 27B vs GPT-4o-mini
- Gemma 3 27B vs Llama 3.3 70B Instruct
- Gemma 3 27B vs GPT-4.1 Nano
- Gemma 3 27B vs Gemma 3 12B
- Gemma 3 27B vs Qwen2.5 72B Instruct
- Gemma 3 27B vs Hermes 3 70B Instruct
- Gemma 3 27B vs Llama 3.1 70B Instruct
- Gemma 3 27B vs Llama 3.2 3B Instruct
- Gemma 3 27B vs Gemma 3 4B
- Gemma 3 27B vs GPT-3.5 Turbo
- Gemma 3 27B vs Saba
- Gemma 3 27B vs Llama 3.2 1B Instruct
Our take
Qwen3 30B A3B Instruct 2507 is 1.1x cheaper for a typical chat. Qwen3 30B A3B Instruct 2507 scores higher on the Artificial Analysis Intelligence Index (7.5 vs 4.9). Qwen3 30B A3B Instruct 2507 has the larger context window (262K vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3 30B A3B Instruct 2507 or Gemma 3 27B cheaper?
Qwen3 30B A3B Instruct 2507 is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 30B A3B Instruct 2507 costs $0.10 per 1M input tokens and $0.30 per 1M output tokens, while Gemma 3 27B costs $0.08 per 1M input tokens and $0.45 per 1M output tokens.
Which has a bigger context window, Qwen3 30B A3B Instruct 2507 or Gemma 3 27B?
Qwen3 30B A3B Instruct 2507 supports up to 262K tokens of context, compared with 131K for Gemma 3 27B.
Is Qwen3 30B A3B Instruct 2507 smarter than Gemma 3 27B?
On the Artificial Analysis Intelligence Index, Qwen3 30B A3B Instruct 2507 scores 7.5 and Gemma 3 27B scores 4.9, putting Qwen3 30B A3B Instruct 2507 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3 30B A3B Instruct 2507 and Gemma 3 27B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3 30B A3B Instruct 2507 and Gemma 3 27B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3 30B A3B Instruct 2507 and Gemma 3 27B at the same time. Compare the answers side by side and keep the best one.